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[Release 1.12.0] Add release logs for 1.12.0rc1 (#23508)
Add release logs for 1.12.0rc1. The base is 1.11.0rc1.
This commit is contained in:
parent
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commit
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10 changed files with 400 additions and 0 deletions
15
release/release_logs/1.12.0/benchmarks/many_actors.json
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15
release/release_logs/1.12.0/benchmarks/many_actors.json
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{
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"_peak_memory": 5.24,
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"_peak_process_memory": "PID\tMEM\tCOMMAND\n182\t1.68GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n1570\t0.85GiB\tpython distributed/test_many_actors.py\n207\t0.28GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dash\n69\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n441\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session auth_start\n279\t0.1GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n1615\t0.06GiB\tray::MemoryMonitorActor.run()\n399\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=33aa41d5\n70\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=33aa41d5\n200\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.64.250:9031 --host=0.0.0.0",
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"actors_per_second": 388.8916884876979,
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"num_actors": 10000,
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"perf_metrics": [
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{
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"perf_metric_name": "actors_per_second",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 388.8916884876979
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}
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],
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"success": "1",
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"time": 25.71410059928894
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}
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8
release/release_logs/1.12.0/benchmarks/many_nodes.json
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8
release/release_logs/1.12.0/benchmarks/many_nodes.json
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{
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"_peak_memory": 3.85,
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"_peak_process_memory": "PID\tMEM\tCOMMAND\n207\t0.26GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dash\n182\t0.17GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n1927\t0.15GiB\tpython distributed/test_many_tasks.py --num-tasks=1000\n283\t0.13GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n69\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n441\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session auth_start\n1973\t0.06GiB\tray::MemoryMonitorActor.run()\n70\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=31a3d4a5\n398\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=31a3d4a5\n200\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.71.106:9031 --host=0.0.0.0",
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"num_tasks": 1000,
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"success": "1",
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"tasks_per_second": 7.071159188773613,
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"time": 441.41952872276306
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}
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15
release/release_logs/1.12.0/benchmarks/many_pgs.json
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15
release/release_logs/1.12.0/benchmarks/many_pgs.json
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{
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"_peak_memory": 3.4,
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"_peak_process_memory": "PID\tMEM\tCOMMAND\n183\t0.65GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n1436\t0.25GiB\tpython distributed/test_many_pgs.py\n208\t0.16GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dash\n70\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n442\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session auth_start\n285\t0.11GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n1482\t0.06GiB\tray::MemoryMonitorActor.run()\n71\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=a17a4170\n400\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=a17a4170\n201\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.76.187:9031 --host=0.0.0.0",
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"num_pgs": 1000,
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"perf_metrics": [
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{
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"perf_metric_name": "pgs_per_second",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 15.461145827030657
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}
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],
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"pgs_per_second": 15.461145827030657,
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"success": "1",
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"time": 64.67825937271118
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}
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8
release/release_logs/1.12.0/benchmarks/many_tasks.json
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8
release/release_logs/1.12.0/benchmarks/many_tasks.json
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{
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"_peak_memory": 5.56,
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"_peak_process_memory": "PID\tMEM\tCOMMAND\n182\t1.51GiB\t/home/ray/anaconda3/lib/python3.7/site-packages/ray/core/src/ray/gcs/gcs_server --log_dir=/tmp/ray/s\n1466\t0.7GiB\tpython distributed/test_many_tasks.py --num-tasks=10000\n207\t0.47GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/dash\n284\t0.13GiB\t/home/ray/anaconda3/bin/python -u /home/ray/anaconda3/lib/python3.7/site-packages/ray/dashboard/agen\n69\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session web_terminal_server --deploy\n441\t0.11GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/anyscale session auth_start\n1509\t0.06GiB\tray::MemoryMonitorActor.run()\n70\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=616b31bc\n401\t0.05GiB\t/home/ray/anaconda3/bin/python /home/ray/anaconda3/bin/jupyter-notebook --NotebookApp.token=616b31bc\n200\t0.05GiB\t/home/ray/anaconda3/bin/python -m ray.util.client.server --address=172.31.84.178:9031 --host=0.0.0.0",
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"num_tasks": 10000,
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"success": "1",
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"tasks_per_second": 28.467452565657783,
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"time": 651.2783582210541
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},
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274
release/release_logs/1.12.0/microbenchmark.json
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274
release/release_logs/1.12.0/microbenchmark.json
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{
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"1_1_actor_calls_async": [
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6740.778737343926,
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151.49967695531075
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],
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"1_1_actor_calls_concurrent": [
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4918.4495821598985,
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],
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"1_1_actor_calls_sync": [
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],
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"1_1_async_actor_calls_async": [
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],
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"1_1_async_actor_calls_sync": [
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],
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"1_1_async_actor_calls_with_args_async": [
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],
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"1_n_actor_calls_async": [
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13864.93124252725,
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],
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"1_n_async_actor_calls_async": [
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],
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"client__1_1_actor_calls_async": [
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],
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"client__1_1_actor_calls_concurrent": [
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],
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"client__1_1_actor_calls_sync": [
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],
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"client__get_calls": [
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],
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"client__put_calls": [
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"client__put_gigabytes": [
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],
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"client__tasks_and_get_batch": [
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],
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"client__tasks_and_put_batch": [
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],
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"multi_client_put_calls_Plasma_Store": [
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43.27747605603915
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],
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"multi_client_put_gigabytes": [
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34.13474334074368,
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1.484673808390538
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],
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"multi_client_tasks_async": [
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],
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"n_n_actor_calls_async": [
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913.9296319129271
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],
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"n_n_actor_calls_with_arg_async": [
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3336.5399182537953,
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20.639743677268793
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],
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"n_n_async_actor_calls_async": [
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],
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"perf_metrics": [
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{
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"perf_metric_name": "single_client_get_calls_Plasma_Store",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 5677.386970352641
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},
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{
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"perf_metric_name": "single_client_put_calls_Plasma_Store",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 5872.5741826883
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},
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{
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"perf_metric_name": "multi_client_put_calls_Plasma_Store",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 11175.884905852514
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},
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{
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"perf_metric_name": "single_client_put_gigabytes",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 20.36422478362875
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},
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{
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"perf_metric_name": "single_client_tasks_and_get_batch",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 13.264876390853791
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},
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{
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"perf_metric_name": "multi_client_put_gigabytes",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 34.13474334074368
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},
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{
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"perf_metric_name": "single_client_get_object_containing_10k_refs",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 13.158313393087003
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},
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{
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"perf_metric_name": "single_client_tasks_sync",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 1780.5264936087756
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},
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{
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"perf_metric_name": "single_client_tasks_async",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 13963.851138997034
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},
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{
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"perf_metric_name": "multi_client_tasks_async",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 46643.491161824466
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{
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"perf_metric_name": "1_1_actor_calls_sync",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 2886.6389542392126
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{
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"perf_metric_name": "1_1_actor_calls_async",
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"perf_metric_value": 6740.778737343926
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},
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{
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"perf_metric_name": "1_1_actor_calls_concurrent",
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"perf_metric_value": 4918.4495821598985
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{
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"perf_metric_name": "1_n_actor_calls_async",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 13864.93124252725
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},
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{
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"perf_metric_name": "n_n_actor_calls_async",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 38701.165896163235
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},
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{
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"perf_metric_name": "n_n_actor_calls_with_arg_async",
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"perf_metric_value": 3336.5399182537953
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},
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{
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"perf_metric_name": "1_1_async_actor_calls_sync",
|
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"perf_metric_value": 1993.4365984056246
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||||
},
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{
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"perf_metric_name": "1_1_async_actor_calls_async",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 3495.6834516935414
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},
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{
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"perf_metric_name": "1_1_async_actor_calls_with_args_async",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 2531.2024338615884
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},
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{
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"perf_metric_name": "1_n_async_actor_calls_async",
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"perf_metric_value": 12086.34279237254
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},
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{
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"perf_metric_name": "n_n_async_actor_calls_async",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 31288.975608880362
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},
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{
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"perf_metric_name": "placement_group_create/removal",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 1390.0491501960296
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},
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{
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"perf_metric_name": "client__get_calls",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 1105.2486940332228
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},
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{
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"perf_metric_name": "client__put_calls",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 824.8004527748432
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},
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{
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"perf_metric_name": "client__put_gigabytes",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 0.04568519320677382
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},
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{
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"perf_metric_name": "client__tasks_and_put_batch",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 9746.303702143603
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},
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{
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"perf_metric_name": "client__1_1_actor_calls_sync",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 535.3811503308413
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},
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{
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"perf_metric_name": "client__1_1_actor_calls_async",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 925.7971574135447
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},
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{
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 930.4997845873929
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},
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{
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"perf_metric_name": "client__tasks_and_get_batch",
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"perf_metric_type": "THROUGHPUT",
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"perf_metric_value": 0.8864171309528786
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}
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],
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"placement_group_create/removal": [
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],
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"single_client_get_calls_Plasma_Store": [
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232.3656538872855
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],
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"single_client_get_object_containing_10k_refs": [
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13.158313393087003,
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0.038157203187742975
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],
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"single_client_put_calls_Plasma_Store": [
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5872.5741826883,
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24.00077430200989
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],
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"single_client_put_gigabytes": [
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20.36422478362875,
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5.53309324955133
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],
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"single_client_tasks_and_get_batch": [
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13.264876390853791,
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0.12520126112341087
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],
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"single_client_tasks_async": [
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283.70181917283963
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],
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"single_client_tasks_sync": [
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1780.5264936087756,
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28.97667435345414
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]
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}
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13
release/release_logs/1.12.0/scalability/object_store.json
Normal file
13
release/release_logs/1.12.0/scalability/object_store.json
Normal file
|
@ -0,0 +1,13 @@
|
|||
{
|
||||
"broadcast_time": 87.82919862000006,
|
||||
"num_nodes": 50,
|
||||
"object_size": 1073741824,
|
||||
"perf_metrics": [
|
||||
{
|
||||
"perf_metric_name": "time_to_broadcast_1073741824_bytes_to_50_nodes",
|
||||
"perf_metric_type": "LATENCY",
|
||||
"perf_metric_value": 87.82919862000006
|
||||
}
|
||||
],
|
||||
"success": "1"
|
||||
}
|
40
release/release_logs/1.12.0/scalability/single_node.json
Normal file
40
release/release_logs/1.12.0/scalability/single_node.json
Normal file
|
@ -0,0 +1,40 @@
|
|||
{
|
||||
"args_time": 17.64882186700001,
|
||||
"get_time": 26.161677794000013,
|
||||
"large_object_size": 107374182400,
|
||||
"large_object_time": 278.229619538,
|
||||
"num_args": 10000,
|
||||
"num_get_args": 10000,
|
||||
"num_queued": 1000000,
|
||||
"num_returns": 3000,
|
||||
"perf_metrics": [
|
||||
{
|
||||
"perf_metric_name": "10000_args_time",
|
||||
"perf_metric_type": "LATENCY",
|
||||
"perf_metric_value": 17.64882186700001
|
||||
},
|
||||
{
|
||||
"perf_metric_name": "3000_returns_time",
|
||||
"perf_metric_type": "LATENCY",
|
||||
"perf_metric_value": 5.702168999999998
|
||||
},
|
||||
{
|
||||
"perf_metric_name": "10000_get_time",
|
||||
"perf_metric_type": "LATENCY",
|
||||
"perf_metric_value": 26.161677794000013
|
||||
},
|
||||
{
|
||||
"perf_metric_name": "1000000_queued_time",
|
||||
"perf_metric_type": "LATENCY",
|
||||
"perf_metric_value": 150.458849804
|
||||
},
|
||||
{
|
||||
"perf_metric_name": "107374182400_large_object_time",
|
||||
"perf_metric_type": "LATENCY",
|
||||
"perf_metric_value": 278.229619538
|
||||
}
|
||||
],
|
||||
"queued_time": 150.458849804,
|
||||
"returns_time": 5.702168999999998,
|
||||
"success": "1"
|
||||
}
|
|
@ -0,0 +1,7 @@
|
|||
{
|
||||
"avg_iteration_time": 1.4770093488693237,
|
||||
"max_iteration_time": 5.566390752792358,
|
||||
"min_iteration_time": 0.16166377067565918,
|
||||
"success": 1,
|
||||
"total_time": 147.7012598514557
|
||||
}
|
|
@ -0,0 +1,15 @@
|
|||
{
|
||||
"stage_0_time": 6.007530212402344,
|
||||
"stage_1_avg_iteration_time": 19.269780373573305,
|
||||
"stage_1_max_iteration_time": 20.231750011444092,
|
||||
"stage_1_min_iteration_time": 18.361438751220703,
|
||||
"stage_1_time": 192.69790053367615,
|
||||
"stage_2_avg_iteration_time": 55.27566561698914,
|
||||
"stage_2_max_iteration_time": 56.53947997093201,
|
||||
"stage_2_min_iteration_time": 53.03127360343933,
|
||||
"stage_2_time": 276.3792636394501,
|
||||
"stage_3_creation_time": 0.06605648994445801,
|
||||
"stage_3_time": 2362.923815011978,
|
||||
"stage_4_spread": 2.715341642450062,
|
||||
"success": 1
|
||||
}
|
|
@ -0,0 +1,5 @@
|
|||
{
|
||||
"avg_pg_create_time_ms": 0.8591420345345346,
|
||||
"avg_pg_remove_time_ms": 3.3398067492495156,
|
||||
"success": 1
|
||||
}
|
Loading…
Add table
Reference in a new issue